Construction of medical equipment-based doctor health monitoring system

被引:0
作者
Shaogang Wang
Shuai Cheng
Xianghua Zhou
Yeyun Mao
Ying Li
Gang Long
Cong Li
Wei Liu
Xueping Long
机构
[1] Huazhong University of Science and Technology,Department of Urology, Tongji Hospital, Tongji Medical College
[2] YouCare Technology Co.,Department of Physics and Astronomy
[3] Ltd.,undefined
[4] University of California,undefined
来源
Journal of Medical Systems | 2019年 / 43卷
关键词
Doctor health; Doctor health monitoring system; Physical health indicators; Convolutional neural network; Health status;
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摘要
The health status of doctors has been overlooked by the society and even the doctors themselves, especially those doctors who work long hours. Their attention is always on patients, so they are more likely to ignore their own health problems. Therefore, in this paper, we propose a medical equipment-based doctor health monitoring system (hereinafter referred to as Doc-care). Doc-care can be used as a private health manager for doctors, and doctors can monitor their health indicators in real time while using medical equipment to aid diagnosis and treatment. When the doctor’s health status is neglected, Doc-care can protect the doctor’s health; combining with the convolutional neural network method to detect and grade the doctor’s health indicators, to assess the doctor’s real-time health status. After referring to the doctor’s past health data in the cloud server, giving appropriate advice and predictions about the doctor’s health status.
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